...While virtually every area of your business and most areas of IT are embracing analytics, the area of workload automation does not. Some use historical run data to develop trends using a spreadsheet approach, however, this is only an after-the-fact band-aid that can tell you that you have already failed or that you might somewhere eventually fail. It cannot point out specific future problem areas or provide you with accurate predictions for processing times and capacity utilization. With analytics, problem resolution for long running or failed processing is much easier; it can reduce meantime to repair by up to 99%, and limits the amount of human capital required to diagnose the problem. Workload Analytics can also help developers and engineers build better workload processes and redesign current processes for more efficiency and higher reliability...